factors: Factors

In kassambara/rstatix: Pipe-Friendly Framework for Basic Statistical Tests

Factors

Description

Provides pipe-friendly functions to convert simultaneously multiple variables into a factor variable.

Helper functions are also available to set the reference level and the levels order.

Usage

convert_as_factor(data, ..., vars = NULL, make.valid.levels = FALSE)

set_ref_level(data, name, ref)

reorder_levels(data, name, order)

Arguments

data	a data frame
...	one unquoted expressions (or variable name) specifying the name of the variables you want to convert into factor. Alternative to the argument vars.
vars	a character vector specifying the variables to convert into factor.
make.valid.levels	logical. Default is FALSE. If TRUE, converts the variable to factor and add a leading character (x) if starting with a digit.
name	a factor variable name. Can be unquoted. For example, use group or "group".
ref	the reference level.
order	a character vector specifying the order of the factor levels

Functions

• convert_as_factor(): Convert one or multiple variables into factor.

• set_ref_level(): Change a factor reference level or group.

• reorder_levels(): Change the order of a factor levels

Examples

# Create a demo data
df <- tibble(
  group = c("a", "a", "b", "b", "c", "c"),
  time = c("t1", "t2", "t1", "t2", "t1", "t2"),
  value = c(5, 6, 1, 3, 4, 5)
)
df
# Convert group and time into factor variable
result <- df %>% convert_as_factor(group, time)
result
# Show group levels
levels(result$group)

# Set c as the reference level (the first one)
result <- result %>%
  set_ref_level("group", ref = "c")
levels(result$group)

# Set the order of levels
result <- result %>%
  reorder_levels("group", order = c("b", "c", "a"))
levels(result$group)

kassambara/rstatix documentation built on Feb. 6, 2023, 3:36 a.m.